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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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48 results for gradient inequality

The paper proves various inequalities on gradient shrinking Ricci solitons.

problem Understanding geometric inequalities on gradient shrinking Ricci solitons.
method Proving multiple inequalities equivalent on complete gradient shrinking Ricci solitons.
result Various inequalities (Sobolev, logarithmic Sobolev, Schrödinger, etc.) are equivalent on gradient shrinking Ricci solitons.

The paper establishes inequalities and gradient estimates for harmonic functions on Finsler measure spaces.

problem Functional and geometric inequalities on Finsler measure spaces.
method Local uniform Poincaré and Sobolev inequalities, mean value inequality, Harnack inequalities, and gradient estimates.
result Global gradient estimates for positive harmonic functions on Finsler measure spaces.

The paper derives inequalities and formulas for generalized Ricci flow.

problem Understanding and characterizing generalized Ricci flow.
method Using Bochner formula and adapted Malliavin gradient, the paper derives inequalities and characterizes generalized Ricci flow.
result Characterizations of generalized Ricci flow via inequalities for the associated Malliavin gradient.

Extends gradient estimates for heat equation under Finsler geometric flows.

problem Global gradient estimates for positive solutions to heat equation.
method General compact Finsler CD(K,N)CD(-K,N) geometric flow.
result Derives Harnack inequality for positive solutions.

This paper proves AdaGrad and Adam converge linearly under PL inequality.

problem Understanding the convergence of adaptive gradient methods.
method Unified approach proving AdaGrad and Adam converge linearly under PL inequality.
result AdaGrad and Adam converge linearly when the cost function is smooth and satisfies PL inequality.

We study some equivalent properties of the curvature-dimension conditions CD(n,K)CD(n,K) inequality on infinite, but locally finite graph. These equivalences are gradient estimate, Poincaré type inequalities and reverse Poincaré inequalities. And we also obtain one equivalent property of gradient estimate for a new notion o…

2015-12-06abs ↗pdf ↗

The paper proves inequalities for hypersurfaces in weighted manifolds.

problem Willmore-type inequalities for closed hypersurfaces in weighted manifolds.
method Analyzes weighted manifolds with nonnegative Bakry-Émery Ricci curvature, proving sharp inequalities and characterizing equality cases.
result Derives sharp Willmore-type and Willmore-like inequalities in steady and shrinking gradient Ricci solitons.

This paper explores geometric and analytic aspects of Lojasiewicz inequalities on vector bundles.

problem Understanding growth and stability conditions for real-analytic functions over vector bundles.
method Outline theory of functionals and variational problems over vector bundles, explore applications to real-analytic functionals.
result Describes the energy functional on $S^{n-1$ as a functional over a vector bundle.

The paper proves a reverse isoperimetric inequality and applies it to analyze surface flows.

problem Analyzing the negative gradient flow of the Willmore energy plus volume.
method Proved a quantitative reverse isoperimetric inequality and applied it to the flow.
result Initial surfaces converge to a round point in finite or infinite time.

Study on stability of free boundary Willmore problem using new gradient inequality.

problem Stability of free boundary Willmore problem.
method New Łojasiewicz-Simon gradient inequality for functionals on infinite dimensional manifolds.
result Existence and convergence of solutions for the free boundary Willmore flow.

The study establishes inequalities for functions on manifolds using Green function estimates.

problem Developing inequalities for functions on manifolds.
method Used integral representations and uniform estimates for Green functions.
result Proved LpL^p Sobolev-type and Poincaré-type inequalities for functions on real and complex manifolds.

Gradient flow of elastic energy converges to elastica.

problem Optimizing closed curves to minimize elastic energy.
method Proving the existence of a unique global solution and convergence via Łojasiewicz--Simon gradient inequality.
result Convergence to elastica established for the H2(ds)H^2(ds)-gradient flow of modified elastic energy.

The paper proves a spin manifold's 4D quasi-Einstein satisfies Hitchin-Thorpe inequality.

problem Proving a specific inequality for a class of 4D manifolds.
method Analyzing properties of gradient mm-quasi-Einstein manifolds, focusing on spin structures.
result Compact 4D spin gradient mm-quasi-Einstein manifolds satisfy the Hitchin-Thorpe Inequality when m1m\ge 1.

Uniqueness of nondegenerate blowups for planar networks shown.

problem Uniqueness of nondegenerate blowups for the motion by curvature of planar networks.
method Proof based on Lojasiewicz-Simon gradient inequality applied to stability properties of critical points of the length functional.
result Uniqueness of nondegenerate compact blowups for the motion by curvature of planar networks.

Unified framework for analyzing neural networks trained by gradient descent.

problem Lack of generalizable guarantees for neural networks trained by gradient descent.
method Proxy convexity and proxy Polyak-Lojasiewicz inequalities.
result Unified guarantees for neural networks trained by gradient descent.

The paper proves gradient estimates for a weighted p-Laplacian equation on Riemannian manifolds.

problem Gradient estimates for a weighted p-Laplacian equation on Riemannian manifolds.
method Assumes a Sobolev inequality and integral Ricci bounds, proving local gradient estimates and Liouville type results.
result Proves local gradient estimates and Liouville type results on manifolds with lower bounds of Ricci curvature.

Proves error bounds for PGD, extending log-Sobolev and Talagrand inequalities.

problem Maximum likelihood estimation of large latent variable models.
method Extending log-Sobolev and Talagrand inequalities to models with strongly concave log-likelihoods.
result Non-asymptotic error bounds for PGD in models satisfying LSI and PŁI.

Introduces new gradient-based methods for machine learning problems.

problem New challenges in machine learning due to decision-making and multi-agent problems.
method Gradient-based optimization and variational inequalities.
result Shifts focus from pattern recognition to decision-making and multi-agent problems.

The paper connects optimization and generalization using a new gradient inequality.

problem Connecting optimization dynamics to generalization bounds in machine learning.
method The approach uses the Łojasiewicz gradient inequality to derive convergence rates and generalization bounds.
result The framework provides generalization estimates matching or extending previous results for various models.

Gradient bounds and Liouville theorems for quasi-linear equations on manifolds with nonnegative Ricci curvature.

problem Establishing bounds and theorems for solutions to quasi-linear elliptic equations on compact manifolds with nonnegative Ricci curvature.
method Gradient bounds, Liouville-type theorems, local splitting theorem, Harnack-type inequality, ABP estimate.
result Gradient bounds and Liouville-type theorems for solutions to quasi-linear equations on compact manifolds with nonnegative Ricci curvature.

The paper establishes inequalities for minimal graphs on manifolds with nonnegative Ricci curvature.

problem Establishing inequalities for minimal graphs on manifolds with nonnegative Ricci curvature.
method Combining Cheeger-Colding theory and geometric measure theory to derive Sobolev and Neumann-Poincaré inequalities.
result Gradient estimates and Liouville theorem for minimal graphs over manifolds with nonnegative Ricci curvature.

In this paper, we study Li-Yau gradient estimates for the solutions uu to the heat equation tu=Δu\partial_tu=Δu on graphs under the curvature condition CD(n,K)CD(n,-K) introduced by Bauer et al. in \cite{BHLLMY}. As applications, we derive Harnack inequalities and heat kernel estimates on graphs. Also we present a type of Ham…

2013-11-14abs ↗pdf ↗

The paper studies gradient estimates and monotonicity of parabolic frequency for solutions to the Laplacian G_2 flow.

problem Gradient estimates and monotonicity of parabolic frequency for solutions to the Laplacian G_2 flow.
method Gradient estimates and Harnack inequalities for heat equations under the Laplacian G_2 flow.
result Monotonicity of parabolic frequency and backward uniqueness for positive solutions.

New inequalities help optimize first-order algorithms for statistical risk analysis.

problem Optimizing first-order iterative algorithms for statistical risk analysis.
method Introducing basic inequalities that connect implicit and explicit regularization.
result The basic inequalities translate the number of iterations into an effective regularization coefficient.

Gradient descent with biased rounding errors converges faster under certain conditions.

problem Stagnation or negative impact of rounding errors in neural network training with low precision.
method Analysis of gradient descent with stochastic fixed-point rounding errors under the Polyak-Lojasiewicz inequality.
result Biased rounding errors can improve convergence rates, especially when the Polyak-Lojasiewicz inequality holds.